Forbes Advisor has announced a job opportunity for a Data Research Engineering. The salary will be provided at American Express is approx ₹25,000/- per month. Candidates wishing to apply for this Recruitment link are provided at the end of the article.
Looking for private Jobs? Then refer to this careerbywell page. The link is at the end of the article for application. The last date of application isn’t given so apply ASAP.
About Forbes Advisor
Forbes is an American business magazine founded by B.C. Forbes in 1917 and owned by Hong Kong-based investment group Integrated Whale Media Investments since 2014. Its chairperson and editor-in-chief is Steve Forbes, and its CEO is Mike Federle. It is based in Jersey City, New Jersey. Competitors in the national business magazine category include Fortune and Bloomberg Businessweek.
Forbes Advisor Recruitment 2023 Overview
| Role | Data Research Engineering |
| Job Type | Private |
| Qualification | Graduates from BCA/MCA/Bsc-Csc/ BE/ Btech |
| Salary | Approx ₹25,000/- per month |
| last date | ASAP |
Forbes Advisor Responsibilities
Job Description
- Contribute to the design and implementation of data models and schemas.
- Assist in acquiring and integrating data from various sources, including web crawling and API integration.
- Learn and contribute to building and maintaining scripts in Python for data extraction, transformation, and loading (ETL) processes.
- Contribute to building and maintaining data processing workflows using tools like Knime.
- Contribute to cross-functional teams in understanding data requirements and participating in data strategy and governance initiatives.
- Collaborate with the Data Research Engineer Team Lead to estimate development efforts and meet project deadlines.
- Assume accountability for achieving development milestones.
- Prioritize tasks to ensure timely delivery in a fast-paced environment with rapidly changing priorities.
- Collaborate with and assist fellow members of the Data Research Engineering Team as required.
- Leverage online resources effectively, such as StackOverflow, ChatGPT, Bard, etc., considering their capabilities and limitations.
- Assist in developing methods and processes for data quality assurance (QA) to ensure accuracy, completeness, and integrity.
- Support the implementation of data validation rules and automated data quality checks.
- Participate in data profiling and analysis to identify anomalies, outliers, and inconsistencies.
Forbes Advisor Qualifications
- Looking for 2023 graduates from BCA/MCA/Bsc-Csc/ BE/ Btech.
Skills And Experience
- Creative and critical thinking.
- Ability to work collaboratively in a team environment.
- Good and effective communication skills.
- Eagerness to learn and expand knowledge in data engineering.
- Exposure to version control systems, such as Git, for collaborative development.
- Ability to thrive in a fast-paced environment with rapidly changing priorities.
- Comfortable with autonomy and the ability to work independently.
- Awareness of machine learning concepts and techniques.
- Exposure to front-end technologies in web development such as HTML, CSS, JavaScript, and Angular for
- implementing data visualizations is a plus.
- Exposure to Agile development methodologies is a plus.
- Strong problem-solving and analytical skills with attention to detail.
- Currently pursuing a Bachelor’s degree in Computer Science, Data Science, or a related field.
- Developing proficiency in Python programming for data extraction, transformation, and loading.
- Basic proficiency in SQL and data querying.
- Familiarity with Python modules such as Pandas, SQLAlchemy, gspread, PyDrive, BeautifulSoup and Selenium, sklearn, Plotly.
- Developing knowledge of web crawling techniques and API integration.
- Basic understanding of database concepts and data modeling principles.
- Developing knowledge of data quality assurance methodologies and techniques.
- Awareness of cloud platforms, including AWS (RDS, S3, EC2, and ECS), Google Cloud Platform, and big data technologies.
- Exposure to Knime or similar tools for data integration and analysis is a plus.
- Currently pursuing a Bachelor’s degree in Computer Science, Data Science, or a related field.
- Developing proficiency in Python programming for data extraction, transformation, and loading.
- Basic proficiency in SQL and data querying.
- Familiarity with Python modules such as Pandas, SQLAlchemy, gspread, PyDrive, BeautifulSoup and Selenium, sklearn, Plotly.
- Developing knowledge of web crawling techniques and API integration.
- Basic understanding of database concepts and data modeling principles.
- Developing knowledge of data quality assurance methodologies and techniques.
- Awareness of cloud platforms, including AWS (RDS, S3, EC2, and ECS), Google Cloud Platform, and big data technologies.